NDLI: The complexity of reality and human computer confluence: stemming the data deluge by empowering human creativity

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The complexity of reality and human computer confluence: stemming the data deluge by empowering human creativity

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The complexity of reality and human computer confluence: stemming the data deluge by empowering human creativity

Content Provider	ACM Digital Library
Author	Verschure, Paul F. M. J.
Abstract	Our ability to extract data from nature by far exceeds our ability to analyze let alone understand it. For good reasons this has been dubbed the data deluge [1, 2]. A standard solution is to develop computational systems that automate the analysis and storage of data in large-scale infrastructure initiatives [3]. The complexity of these petascale computational systems will practically follow that of the data they are build to analyze. On one hand, this trend in science to collect data because it is technology possible as opposed to being theoretically needed, has given rise to agnosticism towards the sources of data. Rather, the believe is that out of the accumulated mass of data, combined with an exact reconstruction of "reality" based on this data in some way knowledge and understanding will flow [4]. This leads to a science as a mechanical archival activity, where researchers accumulate data because it is possible as opposed to being contingent upon predictions and hypotheses. Borges captures the end of understanding that this entails well in his short story "On Exactitude in Science": ".and the Cartographers Guilds struck a Map of the Empire whose size was that of the Empire, and which coincided point for point with it." [5]. This raises the fundamental question of how humans can reclaim the territory from the map and can stem the data deluge. One pragmatic and epistemologically sound approach would be to stop the mad dash for data and return to a hypothesis driven form of science. The second approach is to find new ways to interface human users to complex datasets and the systems that generate and analyze them in order to advance understanding of the sources of data.
Starting Page	3
Ending Page	6
Page Count	4
File Format	PDF
ISBN	9781450308762
DOI	10.1145/2037296.2037298
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-09-13
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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